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Tier-1 brand, mid-level data engineer, metro locations, and broad AWS skills create high applicant competition.
Data engineering skills are broadly transferable across industries despite some AWS/consulting preference.
Explicit 6+ years and mandatory AWS Glue/PySpark/Redshift skills make shortlisting strict.
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Manage client relationships and ensure successful delivery of data engineering programs or accounts on AWS.
Design, build, and maintain scalable data pipelines and data lakes using AWS services including Glue, Lambda, EMR, Step Functions, S3, and implement data quality and CI/CD processes.
Collaborate with analytics and business teams to deliver high-quality datasets and drive alignment of goals, timelines and budgets.
6+ years of hands-on experience with AWS Glue, S3, Lambda, IAM, and Step Functions.
Proficiency in Python (PySpark), SQL, and data transformation logic.
Bachelor's degree in Engineering (B.Tech or BE).
Base location in Pune, Bangalore, Hyderabad, Bhubaneswar, Chennai, or Coimbatore; occasional travel to client sites; hybrid work model.
Experienced in managing end-to-end AWS data engineering solutions including data pipelines, lake formation, and data warehousing (Redshift/Snowflake).
Capable of handling client stakeholder management and aligning project delivery with business goals and quality standards.
Comfortable working in hybrid environments with occasional travel and collaborating across analytics and business teams.